Using User Interface and Experience to Explore Visualization Representation of Social Big Data

碩士 === 國立高雄第一科技大學 === 資訊管理系企業電子化碩士班 === 105 === Since computers and the Internet show up, people record their lives has changed from papers to computers. With the development of social networks, cloud computing, wireless networks, and Mobile device, people have created more and more information. M...

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Bibliographic Details
Main Authors: WANG, YU-WUN, 王俞文
Other Authors: SU, KUO-WEI
Format: Others
Language:en_US
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/u73z7f
Description
Summary:碩士 === 國立高雄第一科技大學 === 資訊管理系企業電子化碩士班 === 105 === Since computers and the Internet show up, people record their lives has changed from papers to computers. With the development of social networks, cloud computing, wireless networks, and Mobile device, people have created more and more information. McAfee and Brynjolfsson (2012) said that if company proper using big data analytics, will 5% more productive and 6% more profitable on average than their competitors. In order to understand the information of big data, people make complex data into charts to make it easy to know. Further to help companies to make decisions and design appropriate programs. Scheaffer, Watkins and Landwehr (1998) recommended original data or summary values often shown by a table or a graph. It helps people to understand table variables and graph constructed easily. To understand the information from big data analysis quickly, people use data visual tools to represent information with graphical features. Therefore, this study will use bazhuayu to get travel data from Facebook. Then use Tableau to make experimental chart for this study. Find visual elements by experiments, and build “The principle of infographic design”. Finally we obtain the following result (1) to appropriate use of color to show the infographic, (2) marked the data to help users quickly understand the information, (3) sort the size of the element, so that users can have a sequential view, and (4) make the best use of different sizes, to convey the difference in the proportion of users. Look forward to the development of data visual analysis tools to contribute in the future. Keywords: Social big data, data visualization, user interface, and user experience.